Locally Directional and Extremal Pattern for Texture Classification

Rotation and scale invariant local binary pattern based on high order directional derivatives for texture classification

Article history: Available online 18 December 2013

Texture Based Pattern Classification

Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of surfaces and their relationship to the surroun...

Multidimensional Texture Analysis for Unsupervised Pattern Classification

Locally Adaptive Techniques for Pattern Classification

Pattern classification is a very general concept with numerous applications ranging from science, engineering, target marketing, medical diagnosis, and electronic commerce to weather forecast based on satellite imagery. A typical application of pattern classification is mass mailing for marketing. For example, credit card companies often mail solicitations to consumers. Naturally, they would li...

Texture classification with a biorthogonal directional filter bank

Classifying textures is a problem that has been considered by many researchers. Many of the high performance methods are based on extracting features from the textures and performing classification in the feature space. In this paper, we consider the application of a new directional filter bank (DFB) to the problem of texture classification. The DFB is used to provide a compact and efficient re...